|Study location||United Kingdom, Sheffield|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
Minimum 2:1 honours degree in mathematics, which must include a significant proportion of modern theorem and proof-based mathematics. A strong performance in a module based on rigorous mathematical analysis is essential. Your degree must also include a substantial component in statistics and probability theory.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
IELTS: 6.5 with a minimum of 6.0 in each component
At least 2 reference(s) must be provided.
These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish.
Prepare to be amazed just how relevant your love of maths is. The sheer range of applications for statistics in finance is mind-boggling. And the transferable skills you’ll pick up, including problem solving, will make you an asset to any employer.
Graduates with skills in these areas are in demand. The course is about applying probabilistic, statistical and mathematical techniques in the finance industry.
It’s based on the MSc in Statistics with additional training in the concepts, models and tools of modern mathematical finance.
Our MSc is accredited by the Royal Statistical Society. It will teach you how to think and act like a professional.
Introductory Mathematical, Dependent Data
Stochastic Processes and Finance